Sentence examples for square k from inspiring English sources

We assume that a real square k × k matrix A has an exponential dichotomy property, i.e., that there exist a projection matrix P ( P = P 2 ) and constants C > 0, λ > 0, such that.

In this formula MS P represents the participant mean square, MS E represents the error mean square, k is the number of trials, MS T represents the trials mean square, and n is the number of participants.

The most recent common ancestor of the pagurid + lithodid + hapalogastrid clade was placed in the Late Cretaceous (Cenomanian, ~98 MYA, Square K) with Lithodidae and Hapalogastridae splitting from one another around 18 MYA (Burdigalian, Miocene).

ICC 2,1) was computed as ICC 2,1) =, where BMS is the between-subjects mean square, EMS is the error mean square, k is the number of observations, OMS is the observations mean square, and n is the number of subjects [ 22].

This can be illustrated by the comparison of Tõnisson Square (J) and Politsei Square (K).

The walks cover Piccadilly Circus to Westminster Bridge via Trafalgar Square; King's Cross station, with its famous Platform 9¾; and the Monument and Leadenhall market to St Paul's Cathedral via Borough Market and the Millennium Bridge.

So that's i squared k squared, the i squared and the minus give me a plus.

For any EJA V, the corresponding cone of squares K ( V ) : = { x 2 : x ∈ V } (12). is indeed a symmetric cone (cf. Theorem III.2.1 in [40]).

The optimal or best-fit regression model for each locus was assessed by choosing the model with the smallest sample size corrected Akaike's Information Criterion value: A I C c = log e (R S S ) + 2 K + 2 K ∗ (K + 1 ) n − K − 1 where RSS is the regression residual sum of squares, K equals the number of parameters in the model, and n is the number of observations (Akaike 1974).

Divided by, this is just multiplied by a squared plus k squared.

This article explores the potential of Kernel-Partial Least Squares (K-PLS) regression for the analysis of data proceeding from mixture designs of experiments.